{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:15:51Z","timestamp":1760235351391,"version":"build-2065373602"},"reference-count":63,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,20]],"date-time":"2021-08-20T00:00:00Z","timestamp":1629417600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001221"],"award-info":[{"award-number":["62001221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20170813"],"award-info":[{"award-number":["BK20170813"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010031","name":"Postdoctoral Research Foundation of China","doi-asserted-by":"publisher","award":["2019M661830"],"award-info":[{"award-number":["2019M661830"]}],"id":[{"id":"10.13039\/501100010031","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010011","name":"Jiangsu Postdoctoral Research Foundation","doi-asserted-by":"publisher","award":["2021K087A"],"award-info":[{"award-number":["2021K087A"]}],"id":[{"id":"10.13039\/501100010011","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010890","name":"Chinese Government Scholarship","doi-asserted-by":"publisher","award":["201906835040"],"award-info":[{"award-number":["201906835040"]}],"id":[{"id":"10.13039\/501100010890","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The parametric decomposition of full-waveform Lidar data is challenging when faced with heavy noise scenarios. In this paper, we report a fractional Fourier transform (FRFT)-based approach for accurate parametric decomposition of pulsed Lidar signals with noise corruption. In comparison with other joint time-frequency analysis (JTFA) techniques, FRFT is found to present a one-dimensional Lidar signal by a particular two-dimensional spectrum, which can exhibit the mathematical distribution of the multiple components in Lidar signals even with a heavy noise interference. A FRFT spectrum-processing solution with histogram clustering and moving LSM fitting is designed to extract the amplitude, time offset, and pulse width contained in the mathematical distribution. Extensive experimental results demonstrate that the proposed FRFT spectrum analysis method can remarkably outperform the conventional Levenberg\u2013Marquardt-based method. In particular, it can accurately decompose the amplitudes, time offsets, and pulse widths of the pulsed Lidar signal with a \u221210-dB signal-to-noise-ratio by mean deviation ratios of 4.885%, 0.531%, and 7.802%, respectively.<\/jats:p>","DOI":"10.3390\/rs13163296","type":"journal-article","created":{"date-parts":[[2021,8,22]],"date-time":"2021-08-22T22:59:27Z","timestamp":1629673167000},"page":"3296","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parametric Decomposition of Pulsed Lidar Signals with Noise Corruption Using FRFT Spectrum Analysis"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1888-3871","authenticated-orcid":false,"given":"Fan","family":"Xu","sequence":"first","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qihui","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengyang","family":"Shu","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5525","DOI":"10.1109\/TSP.2015.2457401","article-title":"Spectral unmixing of multispectral lidar signals","volume":"63","author":"Altmann","year":"2015","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2945","DOI":"10.1109\/TSP.2007.893945","article-title":"Effect of fast motion on range images acquired by lidar scanners for automotive applications","volume":"55","author":"Groll","year":"2007","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1989","DOI":"10.1109\/36.851780","article-title":"Decomposition of laser altimeter waveforms","volume":"38","author":"Hofton","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1109\/LGRS.2016.2522387","article-title":"Modified Levenberg\u2013Marquardt-based optimization method for LiDAR waveform decomposition","volume":"13","author":"Xu","year":"2016","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1007\/s11430-010-4120-y","article-title":"Stepwise decomposition and relative radiometric normalization for small footprint LiDAR waveform","volume":"54","author":"Qin","year":"2011","journal-title":"Sci. China Earth Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5211","DOI":"10.1080\/01431160903023009","article-title":"Processing full-waveform lidar data in an alpine coniferous forest: Assessing terrain and tree height quality","volume":"30","author":"Chauve","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_7","first-page":"228","article-title":"Analysis of full waveform lidar data for tree species classification","volume":"36","author":"Reitberger","year":"2006","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Yan, S., Yang, G., Li, Q., and Wang, C. (2020). Waveform centroid discrimination of pulsed Lidar by combining EMD and intensity weighted method under low SNR conditions. Infrared Phys. Technol., 109.","DOI":"10.1016\/j.infrared.2020.103385"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.optcom.2017.09.063","article-title":"Noise reduction in Lidar signal using correlation-based EMD combined with soft thresholding and roughness penalty","volume":"407","author":"Chang","year":"2018","journal-title":"Opt. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.optcom.2014.03.083","article-title":"Improved empirical mode decomposition based denoising method for lidar signals","volume":"325","author":"Tian","year":"2014","journal-title":"Opt. Commun."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.isprsjprs.2017.03.006","article-title":"Decomposition of LiDAR waveforms by B-spline-based modeling","volume":"128","author":"Shen","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1016\/j.optlaseng.2013.02.011","article-title":"Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noising technique","volume":"51","author":"Zhou","year":"2013","journal-title":"Opt. Lasers Eng."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Ma, X., Hua, D., Cui, Y., and Sui, L. (2010, January 16\u201318). An EMD-based denoising method for lidar signal. Proceedings of the 2010 3rd International Congress on Image and Signal Processing, Yantai, China.","DOI":"10.1109\/CISP.2010.5648129"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3175","DOI":"10.1364\/AO.38.003175","article-title":"Lidar inversion of atmospheric backscatter and extinction-to-backscatter ratios by use of a Kalman filter","volume":"38","author":"Rocadenbosch","year":"1999","journal-title":"Appl. Opt."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1109\/LSP.2004.836938","article-title":"Lidar signal denoising using least-squares support vector machine","volume":"12","author":"Sun","year":"2005","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/79.752053","article-title":"Joint time-frequency analysis for radar signal and image processing","volume":"16","author":"Chen","year":"1999","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_17","first-page":"65","article-title":"Joint time-frequency analysis of seismic signals: A critical review","volume":"12","author":"Kumar","year":"2018","journal-title":"Struct. Durab. Health Monit."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.sigpro.2016.12.019","article-title":"A parametrization technique to design joint time\u2014Frequency optimized discrete-time biorthogonal wavelet bases","volume":"135","author":"Sharma","year":"2017","journal-title":"Signal Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/79.752051","article-title":"Joint time-frequency analysis","volume":"16","author":"Qian","year":"1999","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Lao, G., Yin, C., Ye, W., Sun, Y., and Li, G. (2018). A frequency domain extraction based adaptive joint time frequency decomposition method of the maneuvering target radar echo. Remote Sens., 10.","DOI":"10.3390\/rs10020266"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/j.sigpro.2017.08.001","article-title":"Time-frequency decomposition of multivariate multicomponent signals","volume":"142","year":"2018","journal-title":"Signal Process."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.37121\/jase.v3i1.69","article-title":"Extraction of the pulse width and pulse repetition period of linear FM radar signal using time-frequency analysis","volume":"3","author":"Ahmad","year":"2020","journal-title":"J. Adv. Sci. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1109\/18.57199","article-title":"The wavelet transform, time-frequency localization and signal analysis","volume":"36","author":"Daubechies","year":"1990","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2042","DOI":"10.1109\/LGRS.2014.2317578","article-title":"Time-frequency analysis of seismic data using synchrosqueezing transform","volume":"11","author":"Wang","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2836","DOI":"10.1109\/78.324750","article-title":"Decomposition of the Wigner-Ville distribution and time-frequency distribution series","volume":"42","author":"Qian","year":"1994","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3084","DOI":"10.1109\/78.330368","article-title":"The fractional Fourier transform and time-frequency representations","volume":"42","author":"Almeida","year":"1994","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Tant, K.M., Mulholland, A.J., Langer, M., and Gachagan, A. (2015). A fractional Fourier transform analysis of the scattering of ultrasonic waves. Proc. R. Soc. Math. Phys. Eng. Sci., 471.","DOI":"10.1098\/rspa.2014.0958"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/ncomms11027","article-title":"Implementation of quantum and classical discrete fractional Fourier transforms","volume":"7","author":"Weimann","year":"2016","journal-title":"Nat. Commun."},{"key":"ref_29","first-page":"11","article-title":"Fractional Fourier transform: A novel tool for signal processing","volume":"85","author":"Saxena","year":"2005","journal-title":"J. Indian Inst. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"V55","DOI":"10.1190\/geo2013-0204.1","article-title":"Applications of the synchrosqueezing transform in seismic time-frequency analysis","volume":"79","author":"Herrera","year":"2014","journal-title":"Geophysics"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/j.sigpro.2014.08.010","article-title":"Synchrosqueezing-based time-frequency analysis of multivariate data","volume":"106","author":"Ahrabian","year":"2015","journal-title":"Signal Process."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2264","DOI":"10.1016\/j.sigpro.2012.02.019","article-title":"A generalized synchrosqueezing transform for enhancing signal time\u2013frequency representation","volume":"92","author":"Li","year":"2012","journal-title":"Signal Process."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/LGRS.2015.2493198","article-title":"Seismic time\u2013frequency analysis via empirical wavelet transform","volume":"13","author":"Liu","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Galati, G., Pavan, G., and De Palo, F. (2017). Chirp signals and noisy waveforms for solid-state surveillance radars. Aerospace, 4.","DOI":"10.3390\/aerospace4010015"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1416","DOI":"10.1109\/TAES.2002.1145767","article-title":"Application of the fractional Fourier transform to moving target detection in airborne SAR","volume":"38","author":"Sun","year":"2002","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.acha.2010.08.002","article-title":"Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool","volume":"30","author":"Daubechies","year":"2011","journal-title":"Appl. Comput. Harmon. Anal."},{"key":"ref_37","first-page":"109","article-title":"Harmonic seismic waves response of 3D rigid surface foundation on layer soil","volume":"16","author":"Messioud","year":"2019","journal-title":"Earthq. Struct."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2008.09.007","article-title":"Full-waveform topographic lidar: State-of-the-art","volume":"64","author":"Mallet","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1109\/LGRS.2011.2172676","article-title":"Toward an optimal algorithm for LiDAR waveform decomposition","volume":"9","author":"Qin","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.isprsjprs.2005.12.001","article-title":"Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner","volume":"60","author":"Wagner","year":"2006","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"25935","DOI":"10.1364\/OE.20.025935","article-title":"Range determination for generating point clouds from airborne small footprint LiDAR waveforms","volume":"20","author":"Qin","year":"2012","journal-title":"Opt. Express"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1117\/12.440110","article-title":"Three-dimensional laser radar modeling","volume":"4377","author":"Steinvall","year":"2001","journal-title":"Proc. SPIE"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"4381","DOI":"10.1364\/AO.39.004381","article-title":"Effects of target shape and reflection on laser radar cross sections","volume":"39","author":"Steinvall","year":"2000","journal-title":"Appl. Opt."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"6869","DOI":"10.1364\/AO.36.006869","article-title":"Simulation of error in optical radar range measurements","volume":"36","author":"Der","year":"1997","journal-title":"Appl. Opt."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/79.91217","article-title":"Wavelets and signal processing","volume":"8","author":"Rioul","year":"1991","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1109\/TSP.2013.2276393","article-title":"Matching demodulation transform and synchrosqueezing in time-frequency analysis","volume":"62","author":"Wang","year":"2013","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.1109\/TASSP.1987.1165070","article-title":"An efficient real-time implementation of the Wigner-Ville distribution","volume":"35","author":"Boashash","year":"1987","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1093\/imamat\/25.3.241","article-title":"The fractional order Fourier transform and its application to quantum mechanics","volume":"25","author":"Namias","year":"1980","journal-title":"IMA J. Appl. Math."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"4079","DOI":"10.1109\/TSP.2010.2048206","article-title":"Fractional Fourier transform, Wigner distribution, and filter design for stationary and nonstationary random processes","volume":"58","author":"Pei","year":"2010","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1016\/j.sigpro.2008.10.029","article-title":"Keystone transformation of the Wigner\u2013Ville distribution for analysis of multicomponent LFM signals","volume":"89","author":"Lv","year":"2009","journal-title":"Signal Process."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1109\/78.388866","article-title":"Analysis of multicomponent LFM signals by a combined Wigner-Hough transform","volume":"43","author":"Barbarossa","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/97.873570","article-title":"On fractional Fourier transform moments","volume":"7","author":"Alieva","year":"2000","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1109\/LSP.2002.805118","article-title":"On rotated time-frequency kernels","volume":"9","author":"Bastiaans","year":"2002","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1364\/JOSAA.11.001798","article-title":"Relationships between the Radon\u2013Wigner and fractional Fourier transforms","volume":"11","author":"Lohmann","year":"1994","journal-title":"JOSA A"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.1364\/JOSAA.10.002181","article-title":"Image rotation, Wigner rotation, and the fractional Fourier transform","volume":"10","author":"Lohmann","year":"1993","journal-title":"JOSA A"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1109\/97.641398","article-title":"A generalized block-edge impairment metric for video coding","volume":"4","author":"Wu","year":"1997","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error measurement to structural similarity","volume":"13","author":"Zhou","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TASSP.1984.1164364","article-title":"Application of two-dimensional generalized mean filtering for removal of impulse noises from images","volume":"32","author":"Kundu","year":"1984","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"ref_59","unstructured":"Donoho, D.L., and Johnstone, I.M. (1994, January 3\u20136). Threshold selection for wavelet shrinkage of noisy data. Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Baltimore, MD, USA."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1109\/18.382009","article-title":"De-noising by soft-thresholding","volume":"41","author":"Donoho","year":"1995","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1109\/LSP.2005.856875","article-title":"Simultaneous noise filtering and super-resolution with second-generation wavelets","volume":"12","author":"Chappalli","year":"2005","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_62","first-page":"108","article-title":"Realizations of Fast 2D\/3D Image Filtering and Enhancement","volume":"3","author":"Tang","year":"1998","journal-title":"J. Shanghai Jiaotong Univ. (Sci.)"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"707","DOI":"10.13005\/bpj\/545","article-title":"Image sharpening by gaussian and butterworth high pass filter","volume":"7","author":"Dogra","year":"2014","journal-title":"Biomed. Pharmacol. J."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3296\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:48:01Z","timestamp":1760165281000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3296"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,20]]},"references-count":63,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["rs13163296"],"URL":"https:\/\/doi.org\/10.3390\/rs13163296","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,8,20]]}}}